基于GF-1的坑塘信息精确提取方法研究

以国产高分一号2 m全色、8 m多光谱遥感影像作为数据源,选择廊坊市文安县作为研究区域,针对坑塘信息精确提取问题,采用单波段阈值法、监督分类法、面向对象方法等进行实验研究,重点研究了面向对象方法,结合运用遥感影像光谱、纹理、形状等特征,分析坑塘与其他地物之间的差异,最终实现坑塘信息的精确提取。

Study on Extraction of Pond Information Accurately Based on GF-1

This paper using the supervised classification method,the single band threshold method and the object-oriented method on the problem of accurate extraction of the pond's information with the data source of GF-1 which contains 2 m panchromatic and 8 m multispectral remote sensing image under the premise of select Wen'an County in Langfang as the study area.In order to realize the accurate extraction of the ponds information finally the paper focused on the object-oriented approach and analyzed the difference between ponds and other objects combing with the use of remote sensing image spectrum,texture and shape,etc.